Permanent Recruiting/Data Engineering

Data Engineers Who Make Data Work.

Behind every great analytics team is infrastructure built by great data engineers. We find the people who design the pipelines, own the warehouse, and make data trustworthy.

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Data Placements

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Avg. Time to First Slate

What We Look For

The traits that define top candidates in this role

  • Pipeline development with Spark, Airflow, dbt, Kafka, or Flink
  • Data warehouse experience: Snowflake, Databricks, BigQuery, Redshift
  • Strong SQL fundamentals and Python or Scala for data processing
  • Experience working closely with analytics and ML teams

Why This Role Is Hard to Fill

Data engineering sits at the intersection of software and analytics — a rare combination. The best engineers have both the technical depth and the business intuition to build infrastructure that actually gets used.

Our Approach

We probe for real pipeline ownership — not just contributors. Did they design it? Did they own the SLA? Did they deal with the 3am PagerDuty alert? That's who we send.

FAQ

Common Questions About Hiring a Data Engineer

How much does a Data Engineer make?+

Data Engineers typically earn between $130,000–$180,000 annually for direct hire positions in today's market, though compensation varies based on location, years of experience, tech stack, and company stage. Candidates in major tech hubs like San Francisco, New York, or Seattle may command salaries at the higher end of that range.

How long does it take to hire a Data Engineer?+

With CRB Workforce, most clients receive their first qualified slate of Data Engineer candidates within 5–10 business days. The full time-to-offer typically runs 3–6 weeks depending on your interview process and how quickly stakeholders are available. We actively manage scheduling and follow-up to keep momentum.

When should I hire a Data Engineer full-time vs. on contract?+

Direct hire makes sense when you need a Data Engineer long-term, want them invested in your culture and roadmap, and can offer competitive equity or benefits. Contract works better when you need immediate capacity for a defined project, want to evaluate someone before committing, or need to keep headcount flexible. CRB can help with both — and contract-to-hire is always an option if you want a built-in trial period.

What's the biggest mistake companies make when hiring a Data Engineer?+

The most common mistake is prioritizing résumé keywords over real-world impact. A Data Engineer who can articulate what they built, why they built it, and what broke along the way will outperform a keyword-matched résumé every time. We screen for demonstrated results and communication quality — not just credentials — so you only meet candidates who can actually do the job.

Who should I contact at CRB Workforce to start a Data Engineer search?+

You can reach our team through the contact form on our site. Tell us a bit about the role, your timeline, and what "great" looks like for you — and we'll set up a brief discovery call to get aligned before sourcing begins. Most searches are active within 24–48 hours of that call.

Related Roles We Place

Data AnalystML/AI EngineerPlatform Engineer

Ready to Hire a Data Engineer?

We typically deliver a shortlist of qualified candidates within 5–10 business days.

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